Suicidal Risk
Prediction System.

World class innovation, created with top specialists.
Deep tech using new Graph AI technology.

Suicidal Risk Assessment – Classic Way

Patient
interview
+ tests

Doctor
assessment
based on tests
and interview
only

How can we support the suicidal risk assessment
to prevent teens from suicide deaths?

Solution

Suicidal Risk Prediction System

  • innovative graph-based artificial intelligence system for assesment of teens suicide risk
  • analyze patients’ answers and non-verbal signals: behavior and body response (time &type of reaction)
  • involves experts’ opinion
  • allows the analysis of heterogeneous and incomplete data

Sucicidal Risk Assessment – Vivelio Way

Patient
interview answers
+ body response
+ behaviour
+ Sucicidal Risk Assessment – Vivelio Way

Doctor
interview
+ observations

VivelioAI

Vivelio ROSA
(Risk of Suicide Attempt)

Doctor
diagnosis
+ decision

Our core team

Maciej Pilecki

MD, PhD

Head of Psychiatry
Clinical Department for Adults, Children and Youth at University Hospital in Krakow and Department of Child and Adolescent Psychiatry at Jagiellonian University Medical College.

Adrian Horzyk

DSc, PhD

Associate Professor at AGH University of Science and Technology in Krakow, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering.

Konrad Komnata

Msc

Chief Executive Officer in Nivalit Ltd., Software Architect, PhD candidate in Computer Science at AGH University of Science and Technology in Krakow.

For whom?

vivelio system has the potential
of high societal impact.

The components of the system will be useful:

  • in psychiatric clinics,
  • in the offices of psychologists,
  • at schools.

Everywhere where a young
man comes with suicidal
thoughts.

Contact

If you are interested in a project, please contact us.


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